20240904
18501700
1.0
FALSE
ENV_SM_FINAL_SUITABILITY_OREGON_2023_NCCOS
002
325876.348400
384909.363300
4648691.330100
4868535.728300
1
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_UTM_Zone_10N
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20240610
18271000
20240610
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NAP
ENV_SM_FINAL_SUITABILITY_OREGON_2023_NCCOS
Feature Class
117300
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
GRID_ID
GRID_ID
String
12
0
0
Unique identifier that was produced for each hexagonal grid cell for the modeling process.
NCCOS
Suitability_category
Suitability_category
String
255
0
0
Final_Suitability
Suitability Score
Double
8
38
8
A unitless value from 0 to 1 representing the relative suitability score. Scores closer to zero are relatively less suitable for wind energy, and scores closer to one are relatively more suitable for wind energy.
NCCOS
Shape.STArea()
Shape.STArea()
Double
0
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
Bureau of Ocean Energy Management
805-384-6313
760 Paseo Camarillo
Camarillo
CA
93010
frank.pendleton@boem.gov
Frank Pendleton
GIS Analyst
20240610
000000
ArcGIS Metadata
1.0
Oregon Call Areas Final Suitability Results
Bureau of Ocean Energy Management
760 Paseo Camarillo
Camarillo
CA
93010
frank.pendleton@boem.gov
Frank Pendleton
GIS Analyst
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The geometric mean of the four submodels (i.e., industry and operations, natural resources, fisheries, and wind) was used to calculate an overall suitability score. The geometric mean was chosen because it grants equal importance to each variable and provides a non-biased weighting of each submodel as they interact with each other (Bovee 1986; Longdill et al. 2008; Silva et al. 2011; Muñoz-Mas et al. 2012). Furthermore, all data layers and submodels had equal weight within the suitability model. The resulting suitability score is reflective of the planning objective to identify Wind Energy Areas. In the Oregon region, different wind energy opportunities may exist under different objectives or at different scales than considered in this analysis. </SPAN></P></DIV></DIV></DIV>
These data depict the relative suitability modeling results for BOEM’s Oregon Call Areas. This layer only covers the BOEM Call Areas.
NOAA, NCCOS, BOEM
Bureau of Ocean Energy Management
760 Paseo Camarillo
Camarillo
CA
93010
frank.pendleton@boem.gov
Frank Pendleton
GIS Analyst
Bureau of Ocean Energy Management, BOEM
offshore wind
NCCOS
National Centers for Coastal Ocean Science
suitability modeling
Oregon
call area
wind energy area
WEA
BOEM
Bureau of Ocean Energy Management
Esri ArcGIS 13.2.0.49743
1
-125.169954
-124.389278
43.960948
41.970990
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>For BOEM Wind Energy Area planning purposes only. This data is solely for use by NCCOS for their marine spatial planning project that they are doing on behalf of BOEM, specific to the Coos Bay and Brookings offshore wind call areas off the Oregon Coast. NOAA makes no warranties or representations whatsoever regarding the availability, quality, accuracy, content, completeness or suitability for the user's needs of such information. The services, information, and data made available herein are provided 'as is' without warranties of any kind. These data are intended for coastal and ocean use planning and explicitly not for navigational use. </SPAN></P></DIV></DIV></DIV>
Enterprise Geodatabase Feature Class
dataset
EPSG
6.13(3.0.1)
117300
Simple
FALSE
117300
TRUE
FALSE